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Data Science Bank Jobs (NOW HIRING)

Quickly learn complex community banking dynamics, work closely with stakeholder to understand ... Experience programming statistical & data science languages (e.g. Excel VBA, SQL, Python, R)

We're a next-generation financial services company and national bank using innovative, mobile-first ... The role The Data Science team is seeking a Senior Manager who will help support growth in our SIPS ...

Quickly learn complex community banking dynamics, work closely with stakeholder to understand ... Experience programming statistical & data science languages (e.g. Excel VBA, SQL, Python, R)

... Science and Analytics, particularly in the Banking and Financial Services sector. Responsibilities : โ€ข Data Scientist with 5-10+ years of result-oriented, hands-on professional experience with a ...

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How much do data science bank jobs pay per year?

As of Jul 14, 2026, the average yearly pay for data science bank in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Data Scientist in banking, and why are they important?

To thrive as a Data Scientist in banking, you need strong analytical skills, proficiency in statistics, and a solid foundation in mathematics, typically supported by a degree in a quantitative field. Familiarity with programming languages like Python or R, experience with machine learning libraries, and knowledge of data visualization and big data platforms such as SQL, Hadoop, or Spark are crucial. Exceptional problem-solving abilities, attention to detail, and effective communication skills help you translate complex data insights into actionable strategies for non-technical stakeholders. These skills ensure accurate risk assessment, fraud detection, and data-driven decision-making in the highly regulated financial sector.

What is the role of data science in banking?

Data science in banking involves analyzing large datasets to improve decision-making, detect fraud, assess credit risk, and personalize customer services. Data scientists use tools like machine learning and statistical models to optimize operations and develop predictive insights within the financial environment.

Do data scientists work at banks?

Yes, data scientists work at banks to analyze financial data, develop predictive models, and improve decision-making processes. They often use tools like Python, R, and SQL and may require knowledge of finance and machine learning techniques.

What does a Data Science professional do in a bank?

A Data Science professional in a bank leverages data analysis, statistical modeling, and machine learning to solve business problems and improve decision-making. Their work often involves analyzing customer behavior, detecting fraud, assessing credit risk, and optimizing marketing strategies. They collaborate with other departments to turn raw data into actionable insights, ensuring the bank remains competitive and compliant with regulations. By building predictive models and dashboards, they help the bank enhance efficiency, profitability, and customer satisfaction.

What is the salary of a bank data scientist?

A bank data scientist typically earns between $80,000 and $130,000 annually, depending on experience, location, and education. Senior roles or those with specialized skills in machine learning and big data tools can earn higher salaries, often exceeding $150,000.

Is 40 too late for data science?

Data science roles are open to candidates of all ages, and many professionals transition into the field later in life. Success depends on acquiring relevant skills such as programming, statistics, and machine learning, often through online courses or certifications, regardless of age.

How does a Data Scientist at a bank typically contribute to cross-functional teams, and what collaboration challenges might they face?

As a Data Scientist in a banking environment, you will frequently collaborate with teams from IT, risk management, marketing, and business strategy to develop data-driven solutions. This might involve translating complex analytical findings into actionable insights for non-technical stakeholders or integrating models into existing business processes. Common challenges include aligning data science objectives with business goals, managing data privacy concerns, and ensuring clear communication across different departments. Building strong relationships and maintaining open communication channels are essential for overcoming these challenges and delivering impactful results.
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What states have the most Data Science Bank jobs? States with the most job openings for Data Science Bank jobs include:
Data Scientist Sr

Data Scientist Sr

Flagstar Bank

Atlanta, NE โ€ข On-site

Full-time

Medical, Dental, Vision, Life

Posted 27 days ago


Job description

Position Title

Data Scientist Sr

Location

Atlanta, GA 30305

Job Summary

The Data Scientist Sr responsibilities include independently perform data analytics (ranging from data analysis, regression to machine learning) in a variety of environments using structured and unstructured data. Present complex concepts in a format digestible by a diverse audience across the organization. Build and improve the development of metrics, reports and analysis into BI dashboards that support a wide array of banking businesses. Quickly learn complex community banking dynamics, work closely with stakeholder to understand business objectives and design data-driven solutions that create competitive differentiation. Partner across the functions, including the line of businesses, IT, Data Office, and/or third-party vendors to co-build the data foundation and analytics delivery infrastructure for the action-driven insights and reporting.

Job Responsibilities:

JOB RESPONSIBILITIES

  • Independently perform data analytics (ranging from data analysis, regression to machine learning) also guide other data scientists properly in a variety of environments using structured and unstructured data.
  • Present complex concepts in a format digestible by a diverse audience across the organization.
  • Build and improve the development of metrics, reports and analysis into BI dashboards that support a wide array of banking businesses.
  • Manage ongoing data analytics processes, document calculations, code, and adhere to proper risk and compliance practices.
  • Trouble shoot issues, suggest alternative approaches or controls to mitigate risks/gaps identified.
  • Develop and design data-driven solutions in the areas of client insights and segmentation, sales & marketing lead generation, performance analysis and product analytics.
  • Partner across the functions, including the line of businesses, IT, Data Office, and/or third-party vendors to co-build the data foundation and analytics delivery infrastructure for the action-driven insights and reporting.
  • Assume end-to-end responsibilities on key initiatives assigned, and leverage partnership to achieve the shared vision.
  • Uses independent judgement and discretion to make decisions.
  • Analyzes and resolves problems.

ADDITIONAL ACCOUNTABILITIES

  • Performs special projects, and additional duties and responsibilities as required.
  • Consistently adheres to regulatory and compliance policies and standards linked to the job as listed and complete required compliance trainings. Accountable to maintain compliance with applicable federal, state and local laws and regulations.

JOB REQUIREMENTS

Required Qualifications:

  • Education level required: Undergraduate Degree (4 years or equivalent).
  • Minimum experience required: 5+ Years relevant data engineering, data analytics, computer science, business intelligence industry experience.
  • Experience leveraging tools for ETL and data wrangling.
  • Experience programming statistical & data science languages (e.g. Excel VBA, SQL, Python, R).
  • Experience using modern visualization tool (e.g. PowerBI, Tableau).
  • Knowledge of advanced analytics (e.g. Statistical modeling, machine learning, text analytics) and big data environments.

Preferred Qualifications:

  • Education level preferred: Master's Degree (or Postgraduate equivalent) includes a Master of Business Administration (MBA) with a focus on data analytics or a Master of Science (MS) in data science, business analytics, computer engineering, etc.
  • Working knowledge of cloud computing tools on any of the major cloud platforms preferred.
  • Completion or progress towards certifications such as FRM or CFA preferred.
  • Experience with ETL tools such as Informatica, AWS, Talend, or Snowpark.
  • Knowledge of data governance, security, and compliance requirements in the banking industry.

Job Competencies:

  • Knowledge of advanced analytics (e.g. Statistical modeling, machine learning, text analytics) and big data environments.
  • Knowledge of retail and/or commercial banking.
  • Good Interpersonal, communication and presentation skills.
  • Results oriented with a strong work ethic and sense of urgency.
  • Demonstrates a strong ability to build and maintain effective relationships with stakeholders by communicating clearly, engaging in proactive collaboration, and leveraging cross functional insights.
  • Aligns relationship building efforts with enterprise goals to accelerate performance and drive strategic results.
  • Builds trusted client relationships, whether internal or external, by identifying needs and delivering tailored solutions to enhance the overall client experience.
  • Fosters or supports a positive work culture and productive work environment, displaying importance of effective relationships with customers and stakeholders.
  • Physical demands (ADA): No unusual physical exertion is involved.

Flagstar is an Equal Opportunity Employer

We are committed to providing clear and accurate compensation information in accordance with applicable laws. Actual starting base pay will be determined based on location, experience, and other non-discriminatory factors permitted by law. Total compensation may also include variable incentives, bonuses, commissions, or other awards as outlined in the offer of employment. Flagstar provides teammates access to a variety of benefits including medical, dental, vision, life, and disability insurance, as well as a comprehensive leave program. Please click the following link for detailed information:Benefits | Flagstar Bank

Pay Range

$85,218.75 - $140,390.00

Qualified applicants with arrest or conviction records will be considered for employment in accordance with the California Fair Chance Act, the Los Angeles County Fair Chance Ordinance, the City of Los Angeles Fair Chance Initiative for Hiring Ordinance, and the San Francisco Fair Chance Ordinance, as appliable.